GenAI engineer (CE58SF RM 3567)

0 years

0 Lacs

ahmedabad gujarat india

Posted:16 hours ago| Platform: Linkedin logo

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Skills Required

timing ai ml preprocessing evaluation testing assessment azure aws microservices containerization governance security tuning retrieval test design orchestration data indexing engineering metrics model chat controls compliance

Work Mode

On-site

Job Type

Full Time

Job Description

Position: GenAI engineer (CE58SF RM 3567)

Shift timing : IST (with MT overlap)Education Required: Bachelor’s / Masters / PhD: Bachelor’s

Must Have Skills

Generative AI & LLMsPython & ML LibrariesRAG & Vector DatabasesAgentic AI WorkflowsData Pipelines (Ingestion, Preprocessing, etc.)Model Evaluation & A/B TestingRed-teaming & Vulnerability AssessmentCloud Platforms (Azure, AWS, GCP)APIs, Microservices, & ContainerizationData Governance & SecurityOrchestration Libraries (e.g., LangGraph, Crew AI)

Good To Have Skills

Fine-tuning & Parameter-efficient TuningMultimodal Models & Retrieval
  • Architect, develop, test, and deploy generative-AI solutions (online/offline LLMs, SLMs, TLMs) for domain-specific use cases.
  • Design and implement agentic AI workflows and orchestration using frameworks such as LangGraph, Crew AI, or equivalent.
  • Integrate enterprise knowledge bases and external data sources via vector databases and Retrieval-Augmented Generation (RAG).
  • Build and productionize ingestion, preprocessing, indexing, and retrieval pipelines for structured and unstructured data (text, tables, documents, images).
  • Implement fine-tuning, prompt engineering, evaluation metrics, A/B testing, and iterative model improvement cycles.
  • Conduct/model red-teaming and vulnerability assessments of LLMs and chat systems using tools like Garak (Generative AI Red-teaming & Assessment Kit).
  • Collaborate with MLOps/platform teams to containerize, monitor, version, and scale models (CI/CD, model registry, observability).
  • Ensure model safety, bias mitigation, access controls, and data privacy compliance in deployed solutions.
  • Translate business requirements into technical designs with clear performance, cost, and safety constraints.

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